Data Engineer (Cloud)

A position for data engineers that involves working on a variety of large-scale data-related projects in the cloud and on-premise. You will be able to join a team of specialists and demonstrate your talent and technical skills in designing processes for data preparation, processing, validation, and migration across diverse sources.


  • collaborate with product owners and team leads to identify, design, and implement new features to support the growing data needs;
  • monitor and anticipate trends in data engineering, and propose changes in alignment with organizational goals and needs;
  • share knowledge with other teams on various data engineering or project-related topics;
  • develop and maintain code and documentation for data integration projects and procedures;
  • solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality;
  • contribute to the core design of data architecture and implementation plan, define risks;
  • design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external apis, data streams, and data lakes;
  • be able to refactor the existing code to improve quality and productivity, and fix the possible errors;
  • identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.;
  • collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios


  • 1+ years of experience with software development or data engineering tasks;
  • software engineering skills (python, scala preferred) in massively parallel processing implementations;
  • solid sql knowledge;
  • experience with python libraries for data manipulation and processing (pandas, numpy) is a plus point;
  • proficient with relational and non-relational data modeling;
  • proficient with stream processing using the current industry standards;
  • etl and elt principle knowledge;
  • good understanding of data warehousing principles and modeling concepts (knowledge of data model types and terminology including oltp/olap, mpp, (de)normalization, “star”/”snowflake” schemas, graph/nosql);
  • capable of building conceptual, logical, and physical data models;
  • ability to tune and optimize queries;
  • a team player with excellent collaboration skills;
  • english level  intermediate+.


  • bsc or master degree in cs/mathematics/statistics/physics/ee or equivalent experience;
  • experience with cloud services (GCP, Azure, AWS);
  • experience with MS SQL server tools: SSAS, SSRS, SSIS;
  • experience with data streaming frameworks (Kafka);
  • experience with Orchestration of data flows (Apache Airflow);
  • experience with NoSQL storages (Cassandra, MongoDB, Elasticsearch);
  • experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment;
  • experience with requirements management tools, in particular Jira and Confluence.


  • Large-scale projects
  • Professional, friendly, and supportive team
  • Prospects for career development in a team with a 27-year history;
  • Opportunities for professional growth that include participation in thematic events, English courses, certifications, paid participation in the largest industry conferences in the world;
  • Comfortable space in the city center, regular team buildings, holidays, and legendary corporate parties;
  • Flexible compensation review system;
  • Medical, sports and accounting support programs

If you would like to join our team, please send your CV to [email protected] or fill out our online CV form. We look forward to meeting you!